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Principal Machine Learning Engineer at Ping Identity - ApplyBlast

Principal Machine Learning Engineer

Ping Identity

1 day ago

4.1 on Glassdoor

Tel Aviv, Tel Aviv District, Israel

Hybrid

Full Time

Senior

0 applicants

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About this role

The Principal Machine Learning Engineer architects, builds, and scales the ML platform powering Ping Identity's intelligent identity products, enabling data scientists to train, optimize, and deploy low-latency decisioning models. This role involves designing scalable ML infrastructure, managing real-time data pipelines, and driving MLOps practices to streamline the transition of models from research to production. The position requires collaboration with cross-functional teams to integrate ML capabilities into the company's ecosystem while mentoring engineers and raising technical standards.

Responsibilities

Architect and build scalable ML platforms and tools for data scientists
Design and manage real-time ML feature stores and streaming pipelines
Drive MLOps end-to-end including CI/CD and containerized deployment

Skills

About Ping Identity

pingidentity.com

Headquarters

Denver, Colorado, United States

Company Size

1001-5000 employees

Founded

2002

View Profile

Ping Identity is an identity security company that provides enterprise-grade identity and access management to protect users and every digital interaction. Its platform offers single sign-on, multi‑factor and adaptive authentication, access management, federation and API security, and customer/workforce identity solutions (e.g., PingOne, PingFederate, PingID). Ping emphasizes frictionless user experiences, risk‑based access controls, and interoperability across cloud, on‑premises, and hybrid environments to support modernization and digital transformation. Organizations choose Ping for its standards-based, scalable identity platform and broad integrations.